GDPx v1.0 - Cybersecurity - Arithmetic - Partial Score: leaderboard

GDPx v1.0 Cybersecurity - Arithmetic - Partial Score measures professional agent work using the publisher's native task-specific scores on a 0–100 scale. Three attempts are run per task, normally with an eight-hour limit. Scores mix binary and continuous grading; the overall mean weights eleven domains equally and partners equally within each domain. Native harness, effort and assigned/scored counts remain separate; missing native scores are not treated as zero.

Metric: Partial Score (%). Source: gdpx.semianalysis.com. Saturation forecast: Rough model projection: around 2026. 20 models tracked.

Top models

#ModelScoreOverall rank
1Muse Wonder Full (GDPx Run: v1.0; muse-wonder-full; Muse Code; effort Highest)35.19
2Muse Wonder (GDPx Run: v1.0; muse-wonder; Muse Code; effort Highest)24.07
3Gemini 4 Argon (GDPx Run: v1.0; gemini-4-argon; Antigravity; effort High)18.52
4DeepSeek V4.1 Flash (1017) (GDPx Run: v1.0; deepseek-4-1-flash; DeepSeek Harness; effort Highest)16.67
5Gemini 4 Carbon (GDPx Run: v1.0; gemini-4-carbon; Antigravity; effort High)16.67
6Grok 4.7 (GDPx Run: v1.0; grok-4-7; Grok Build; effort xHigh)14.81
7GPT-6 Luna (GDPx Run: v1.0; gpt-6-luna; Codex; effort Max)12.41
8Kimi K3 (GDPx Run: v1.0; kimi-k3; Kimi Code; effort Highest)12.41
9Claude Opus 5.5 (GDPx Run: v1.0; claude-opus-5-5; Claude Code; effort Max)11.85
10Claude Haiku 5.5 (GDPx Run: v1.0; claude-haiku-5-5; Claude Code; effort Max)9.26

Interactive version: theaggregate.ai/benchmark?slug=gdpx-v1-0-cybersecurity-arithmetic-partial-score · How It Works · Data refreshed daily, snapshot 2026-11-05.